An Edge Based Efficient Method of Face Detection and Feature Extraction

The theme of the paper is to focus upon an edge based hybrid approach for face detection using neural network classifier and canny method. The algorithm classifies between faces and non-faces using multilayer feed forward networks followed by extraction of facial features using canny method. Viola-Jones method for face detection proved to be a great support in detection of human faces. The execution of the MLFFN face discovery framework will be in view of the identification rate, False Acceptance Rate (FAR) and the False Rejection Rate (FRR) criteria.